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AI app builder that turns chat prompts into working web apps and sites, with credit-based build and deploy.
Text-to-SQL tool that writes dialect-aware queries and gives AI agents governed, read-only database access.
Turns Git commits and PRs into AI-summarized daily or weekly reports delivered to Slack or email, no source access.
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
Terminal-native AI tool (Kane CLI) that turns plain-English descriptions into real-Chrome browser test flows.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
- ✦Chat-to-app and website generation
- ✦Real-time prototype building
- ✦One-click deploy and hosting
- ✦Templates to start projects
- ✦Credit-based building with shared workspaces
- ✦You own your code and data
- ✦Natural-language to SQL
- ✦Semantic schema layer
- ✦Governed MCP/REST gateway
- ✦Read-only query enforcement
- ✦7 database connectors
- ✦SQL explain, optimize and format
- ✦AI-summarized commit and PR reports
- ✦Daily and weekly scheduled digests
- ✦Slack and email delivery
- ✦One-click OAuth or webhook setup
- ✦GitHub, GitLab and Bitbucket support
- ✦Templates for standups and reports
- ✦Chat inside GitHub issues and PRs
- ✦Task-to-implementation plans with code
- ✦Automatic bug-fix suggestions
- ✦Pull-request summaries for faster review
- ✦Full-codebase context
- ✦GitHub-native integration
- ✦Natural-language browser flow automation from the CLI
- ✦Auto-healing and vision-based element detection
- ✦Integration with a wider agentic test cloud (real devices, visual/accessibility testing)
- ✦MCP server for connecting AI agents into IDEs
- ✦Shareable evidence links for pass/fail results
- ✦Credit-based monthly usage plans
- →Build web apps without coding
- →Prototype product ideas quickly
- →Create landing pages and sites
- →Ship internal tools
- →Generating SQL without coding
- →Giving agents safe DB access
- →Explaining and fixing queries
- →Querying live databases
- →Keep stakeholders updated on what shipped
- →Replace manual status updates and standups
- →Give teams visibility into Git activity
- →Speeding up pull-request reviews
- →Implementing features from task descriptions
- →Debugging with AI-proposed solutions
- →Answering questions about a repo
- →Boosting a solo developer's output
- →Developers running local end-to-end browser tests from a terminal
- →QA teams automating cross-browser regression checks
- →Teams needing tests resilient to UI redesigns
- →IDE-integrated AI test authoring via MCP